[Numpy-discussion] Interface for wrapping random distribution functions (__array_function__, __ufunc__, ?)

[Kevin Sheppard]

There is an issue that suggests reimplementing many of the Generator
methods as ufuncs so they they would inherit all of the free features of
ufuncs. It seems like a doable but large project for some useful but
nonessential features.

Kevin


On Wed, Jun 30, 2021, 20:49 Robert Kern <robert.kern at gmail.com> wrote:

> On Wed, Jun 30, 2021 at 3:34 PM Yoann Mocquin <mocquin at me.com> wrote:
>
>>
>>
>> Hello there,
>>
>> here is a feature request for the possibility to wrap numpy random
>> distributions to be wrapped by a mechanism like __array_function__ or
>> __array_ufunc__. You can find the GH issue at :
>> https://github.com/numpy/numpy/issues/19382.
>>
>>
>>
>> This post follows [this one](https://github.com/numpy/numpy/issues/18902).
>> I figured I should open another issue for `np.random.normal`, but this
>> applies for all distributions I guess.
>>
>> ## Feature
>>
>> Basicaly, I would like that `numpy.random.*` distributions could trigger
>> an interface when passed instances from custom classes, "à la"
>> `__array_ufunc__` or `__array_function__`. Here is an example concept :
>>
>
>  The main problem is that these are not functions but methods on a hidden
> global `RandomState` instance. I haven't kept up fully with all of the
> efforts in the `__array_*__` proposals, but I do see that methods are
> explicitly excluded from the `__array_function__` mechanism:
>
>   https://numpy.org/neps/nep-0018-array-function-protocol.html#non-goals
>
> The `RandomState` functionality (and thus all of these aliases in
> `numpy.random`) are now frozen in functionality (per NEP 19), so we will
> not be adding this functionality to them. If the `__array_function__`
> developments eventually work out a good way to wrap methods, then we can
> think about using that on `Generator`, but I suspect that will not be
> straightforward.
>
> --
> Robert Kern
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